OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,658 papers shown

Title
Model Extraction Attacks Against Reinforcement Learning Based Controllers Momina Sajid Yanning Shen Yasser Shoukry OffRL MIACV AAML 17 0 0 25 Apr 2023
Fulfilling Formal Specifications ASAP by Model-free Reinforcement Learning Mengyu Liu Pengyuan Lu Xin Chen Fanxin Kong O. Sokolsky Insup Lee 33 3 0 25 Apr 2023
Parallel bootstrap-based on-policy deep reinforcement learning for continuous flow control applications J. Viquerat E. Hachem 26 2 0 24 Apr 2023
System III: Learning with Domain Knowledge for Safety Constraints Fazl Barez Hosien Hasanbieg Alesandro Abbate 35 4 0 23 Apr 2023
AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for Sim-to-Real Deep Reinforcement Learning Shathushan Sivashangaran Apoorva Khairnar A. Eskandarian 17 6 0 22 Apr 2023
Self-Supervised Adversarial Imitation Learning Juarez Monteiro Nathan Gavenski Felipe Meneguzzi Rodrigo C. Barros SSL 28 1 0 21 Apr 2023
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards Shanchuan Wan Yujin Tang Yingtao Tian Tomoyuki Kaneko OffRL 22 4 0 21 Apr 2023
Interactive System-wise Anomaly Detection Guanchu Wang Ninghao Liu Daochen Zha Xia Hu AAML 22 1 0 21 Apr 2023
TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning F. Capuano D. Peceli Gabriele Tiboni Raffaello Camoriano Bedvrich Rus 19 1 0 20 Apr 2023
Topological Guided Actor-Critic Modular Learning of Continuous Systems with Temporal Objectives Lening Li Zhentian Qian 35 0 0 20 Apr 2023
Learning Representative Trajectories of Dynamical Systems via Domain-Adaptive Imitation Edgardo Solano-Carrillo Jannis Stoppe 23 0 0 19 Apr 2023
Quantum deep Q learning with distributed prioritized experience replay Samuel Yen-Chi Chen BDL 36 6 0 19 Apr 2023
Evolving Constrained Reinforcement Learning Policy Chengpeng Hu Jiyuan Pei Jialin Liu Xinghu Yao 18 1 0 19 Apr 2023
An adaptive safety layer with hard constraints for safe reinforcement learning in multi-energy management systems Glenn Ceusters M. A. Putratama R. Franke Ann Nowé M. Messagie 39 4 0 18 Apr 2023
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints Kazumi Kasaura Shuwa Miura Tadashi Kozuno Ryo Yonetani Kenta Hoshino Y. Hosoe 61 14 0 18 Apr 2023
Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning Bryan C. Brandt P. Dasgupta 39 1 0 14 Apr 2023
Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers K. Chang Nathan Dahlin Rahul Jain Pierluigi Nuzzo OffRL 21 0 0 11 Apr 2023
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding Tongzheng Ren Zhaolin Ren Haitong Ma Na Li Bo Dai 32 10 0 08 Apr 2023
ShakingBot: Dynamic Manipulation for Bagging Ningquan Gu Zhizhong Zhang R. He Lianqing Yu 48 5 0 07 Apr 2023
Causal Repair of Learning-enabled Cyber-physical Systems Pengyuan Lu I. Ruchkin Matthew Cleaveland O. Sokolsky Insup Lee 32 2 0 06 Apr 2023
AutoRL Hyperparameter Landscapes Aditya Mohan C. Benjamins Konrad Wienecke A. Dockhorn Marius Lindauer 42 7 0 05 Apr 2023
Online augmentation of learned grasp sequence policies for more adaptable and data-efficient in-hand manipulation E. Gordon Rana Soltani-Zarrin OffRL 31 5 0 04 Apr 2023
Quantum Imitation Learning Zhihao Cheng Kaining Zhang Li Shen Dacheng Tao 27 1 0 04 Apr 2023
PyFlyt -- UAV Simulation Environments for Reinforcement Learning Research Jun Jet Tai J. Wong M. Innocente N. Horri J. Brusey S. K. Phang 19 10 0 03 Apr 2023
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents Malte Lehna J. Viebahn Christoph Scholz Antoine Marot Sven Tomforde 34 19 0 03 Apr 2023
Physical Deep Reinforcement Learning Towards Safety Guarantee H. Cao Y. Mao L. Sha Marco Caccamo AI4CE 22 5 0 29 Mar 2023
Learning Complicated Manipulation Skills via Deterministic Policy with Limited Demonstrations Li Haofeng C. Yiwen Tan Jiayi Marcelo H. Ang Jr OffRL 33 1 0 29 Mar 2023
A Survey of Machine Learning-Based Ride-Hailing Planning Dacheng Wen Yupeng Li F. Lau 29 4 0 26 Mar 2023
Sequential Knockoffs for Variable Selection in Reinforcement Learning Tao Ma Hengrui Cai Zhengling Qi C. Shi Eric B. Laber 31 3 0 24 Mar 2023
marl-jax: Multi-Agent Reinforcement Leaning Framework K. Mehta Anuj Mahajan Kiran Ravish 34 3 0 24 Mar 2023
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition Stephanie Milani Anssi Kanervisto Karolis Ramanauskas Sander Schulhoff Brandon Houghton ... Vinicius G. Goecks Nicholas R. Waytowich David Watkins J. Miller Rohin Shah 37 16 0 23 Mar 2023
Reinforcement Learning with Exogenous States and Rewards George Trimponias Thomas G. Dietterich OffRL 33 2 0 22 Mar 2023
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality François Ged M. H. Veiga 38 0 0 22 Mar 2023
A multi-functional simulation platform for on-demand ride service operations Siyuan Feng Taijie Chen Yuhao Zhang Jintao Ke Zhengfei Zheng Hai Yang 11 2 0 22 Mar 2023
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning Qiming Ye Yuxiang Feng Jose Javier Escribano Macias M. Stettler Panagiotis Angeloudis 26 4 0 22 Mar 2023
ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishing Brady Lund Ting Wang Nishith Reddy Mannuru Bing Nie S. Shimray Ziang Wang AI4CE 15 503 0 21 Mar 2023
Comparing NARS and Reinforcement Learning: An Analysis of ONA and $Q$ -Learning Algorithms Ali Beikmohammadi Sindri Magnússon 14 3 0 17 Mar 2023
Reinforcement Learning for Omega-Regular Specifications on Continuous-Time MDP A. Falah Shibashis Guha Ashutosh Trivedi 14 0 0 16 Mar 2023
Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning Junqi Qian Paul Weng Chenmien Tan 55 1 0 16 Mar 2023
MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids Nicolas Mauricio Cuadrado Roberto Gutiérrez Yongli Zhu Martin Takáč 41 2 0 15 Mar 2023
Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring Merlijn Krale T. D. Simão N. Jansen OffRL 28 7 0 14 Mar 2023
Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications Marco Kemmerling Daniel Lutticke Robert H. Schmitt 37 14 0 14 Mar 2023
Reinforcement Learning-based Wavefront Sensorless Adaptive Optics Approaches for Satellite-to-Ground Laser Communication Payam Parvizi Runnan Zou C. Bellinger R. Cheriton D. Spinello 16 2 0 13 Mar 2023
Kernel Density Bayesian Inverse Reinforcement Learning Aishwarya Mandyam Didong Li Diana Cai Andrew Jones Barbara E. Engelhardt BDL OffRL 55 3 0 13 Mar 2023
Synthetic Experience Replay Cong Lu Philip J. Ball Yee Whye Teh Jack Parker-Holder OffRL 94 70 0 12 Mar 2023
Beware of Instantaneous Dependence in Reinforcement Learning Zhengmao Zhu Yu-Ren Liu Hong Tian Yang Yu Kun Zhang OffRL 41 1 0 09 Mar 2023
On the Benefits of Biophysical Synapses Julian Lemmel Radu Grosu 11 0 0 08 Mar 2023
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning Nick Bührer Zhejun Zhang Alexander Liniger Feng Yu Luc Van Gool 29 1 0 07 Mar 2023
Evolutionary Reinforcement Learning: A Survey Hui Bai Ran Cheng Yaochu Jin OffRL 50 52 0 07 Mar 2023
Learning to Backdoor Federated Learning Henger Li Chen Wu Senchun Zhu Zizhan Zheng FedML 36 10 0 06 Mar 2023